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Methodological Framework to Define Connected Machines’ Specifications for Smart Factories

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Design Tools and Methods in Industrial Engineering III (ADM 2023)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

This paper discusses the integration of Industry 4.0 technologies in manufacturing facilities to implement the Smart Factory paradigm exploiting Cyber-Physical Systems, Internet of Things, Big Data and Cloud Computing as key enabling technologies (KET). The study aims to define a methodological framework to design and implement connected machines to realize the Smart Factory model by interconnecting the KETs through the pragmatically implementation of digital twins from design to production.

The study fills a literature gap by formalizing an approach for studying and implementing digital twins for value creation from a servitization perspective. The approach is illustrated through a successful case study and represents the first results of a long-term research project funded by the Italian Minister of Economic Development. Future works will expand the approach to more case studies to provide formalized guidelines of general applicability.

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Author information

Authors and Affiliations

  1. Department of Industrial Engineering and Mathematical Sciences – Università Politecnica Delle Marche, Via Brecce Bianche, 12, AN 60131, Ancona, Italy

    Giovanni Giancamilli, Andrea Generosi, Thomas Agostinelli, Giovanni Mazzuto & Maura Mengoni

Authors
  1. Giovanni Giancamilli
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  2. Andrea Generosi
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  3. Thomas Agostinelli
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  4. Giovanni Mazzuto
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  5. Maura Mengoni
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Corresponding author

Correspondence to Giovanni Giancamilli .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, University of Florence, Florence, Italy

    Monica Carfagni

  2. Department of Industrial Engineering, University of Florence, Florence, Italy

    Rocco Furferi

  3. Department of Industrial and Information Engineering and Economics, University of L'Aquila, L’Aquila, Italy

    Paolo Di Stefano

  4. Department of Industrial Engineering, University of Florence, Florence, Italy

    Lapo Governi

  5. Department of Engineering "Enzo Ferrari", University of Modena and Reggio Emilia, Modena, Italy

    Francesco Gherardini

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Giancamilli, G., Generosi, A., Agostinelli, T., Mazzuto, G., Mengoni, M. (2024). Methodological Framework to Define Connected Machines’ Specifications for Smart Factories. In: Carfagni, M., Furferi, R., Di Stefano, P., Governi, L., Gherardini, F. (eds) Design Tools and Methods in Industrial Engineering III. ADM 2023. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-58094-9_44

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  • DOI: https://doi.org/10.1007/978-3-031-58094-9_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-58093-2

  • Online ISBN: 978-3-031-58094-9

  • eBook Packages: EngineeringEngineering (R0)

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